Evidence map›Paper›PMID 33986253›Full record

ArticleSignal transduction and targeted therapy2021

Metagenomic analysis reveals oropharyngeal microbiota alterations in patients with COVID-19.

Shengli Ma, Fan Zhang, Fengxia Zhou, Hui Li, Wenyu Ge, Rui Gan, Huan Nie, Biao Li, Yindong Wang, Meng Wu and 5 more

Abstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

94 citing papers in PubMed, 1 synthesis or guideline pooled it.

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34 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Shengli Ma *Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China. msl6377@aliyun.com.
Fan Zhang *School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Fengxia Zhou *School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Hui Li *Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China.
Wenyu GeHeilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China.
Rui GanSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Huan NieSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Biao LiSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin, China.
Yindong WangHeilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China.
Meng WuHeilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China.
Duo LiDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Dongmei WangHeilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China.
Zheng WangHeilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China.
Yuhong YouHeilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China.
Zhiwei HuangSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, China. huangzhiwei@hit.edu.cn.ORCID http://orcid.org/0000-0002-8201-9391

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31422014National Natural Science Foundation of China (National Science Foundation of China) 31825008National Natural Science Foundation of China (National Science Foundation of China) 61872117
6 · The paper itself

Abstract

COVID-19 remains a serious emerging global health problem, and little is known about the role of oropharynx commensal microbes in infection susceptibility and severity. Here, we present the oropharyngeal microbiota characteristics identified by shotgun metagenomic sequencing analyses of oropharynx swab specimens from 31 COVID-19 patients, 29 influenza B patients, and 28 healthy controls. Our results revealed a distinct oropharyngeal microbiota composition in the COVID-19 patients, characterized by enrichment of opportunistic pathogens such as Veillonella and Megasphaera and depletion of Pseudopropionibacterium, Rothia, and Streptococcus. Based on the relative abundance of the oropharyngeal microbiome, we built a microbial classifier to distinguish COVID-19 patients from flu patients and healthy controls with an AUC of 0.889, in which Veillonella was identified as the most prominent biomarker for COVID-19 group. Several members of the genus Veillonella, especially Veillonella parvula which was highly enriched in the oropharynx of our COVID-19 patients, were also overrepresented in the BALF of COVID-19 patients, indicating that the oral cavity acts as a natural reservoir for pathogens to induce co-infections in the lungs of COVID-19 patients. We also found the increased ratios of Klebsiella sp., Acinetobacter sp., and Serratia sp. were correlated with both disease severity and elevated systemic inflammation markers (neutrophil-lymphocyte ratio, NLR), suggesting that these oropharynx microbiota alterations may impact COVID-19 severity by influencing the inflammatory response. Moreover, the oropharyngeal microbiome of COVID-19 patients exhibited a significant enrichment in amino acid metabolism and xenobiotic biodegradation and metabolism. In addition, all 26 drug classes of antimicrobial resistance genes were detected in the COVID-19 group, and were significantly enriched in critical cases. In conclusion, we found that oropharyngeal microbiota alterations and functional differences were associated with COVID-19 severity.

Indexed as

BacteriaMetagenomicsMicrobiotaSARS-CoV-2AdultCOVID-19FemaleHumansMaleMiddle AgedOropharynx

Identifiers

PMID33986253
PMCPMC8116522

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.